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Results obtained show a good agreement, validating both the prediction of the behaviour of the workpiece during machining and the prediction of the machined part geometry.
In this study, the rigid plastic two-dimensional finite element method using the DEFORM2D code is presented for the better understanding of the plastic deformation behaviour of the workpiece.
In this process, knowledge of the plastic deformation behaviour of the workpiece during the process is very important for the determination of the optimum process conditions such as die design, speed, temperature, friction and preform design.
As a consequence, the mechanical behaviour of the workpiece has to be considered during the definition of the machining process plan to improve the machining accuracy and the robustness of the process and thus to ensure the conformity of the machined part with the dimensional and geometrical specifications, i.e. to ensure the desired machining quality.
For thick, large and complex parts in highly alloyed aluminium, this redistribution of the residual stresses can leads to an unexpected behaviour of the workpiece and is the main reason for both workpiece deflections (during machining) and post-machining distortions (after unclamping).
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The morphology changes of the workpieces are measured to characterize the deformation behavior of the workpiece.
The wear behaviour of the grinding wheel and the thermal damage on the workpiece surface are investigated.
We have developed a computational model for determining the dynamic clamping force of jaw-chucks during high-speed turning that takes into account the influence of the stiffness behaviours of the chuck and workpiece.
The tool vibrates the abrasive grains against the surface of the workpiece, thus removing material.
In forward extrusion the ram and the die are on opposite sides of the workpiece.
Do not allow the file to rock as you push or you could round edges of the workpiece.
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